Ideas Hub
In the fourth industrial revolution — or Industry 4.0 — data is the new electricity. Before we can truly begin to revolutionise industry, more businesses need to have the means of capturing, storing and analysing their industrial process and operations data.
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Most manufacturers have started taking steps to reduce energy demand by investing in energy efficient technologies and metering systems. However, these technologies are only as useful as they are monitored and managed, which can be difficult for larger businesses.
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Production challenges do not wait on IT developments, and getting to the root of a problem, or identifying the conditions that hinder smooth operation, does not always have to be rocket science.
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Effective industrial data collection, aggregation and visualisation software has made it possible for manufacturers to gain insights into their processes.
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The global demand for pharmaceutical products has grown consistently since the turn of the century. Despite the growth in demand and market value, pharmaceutical manufacturing has by and large neglected many of the productivity and efficiency benefits presented by automation systems.
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With many industrial data strategies falling short, can industrial businesses achieve an effective data strategy?
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COVID-19 has revolutionised all our lives. The next big challenge that the manufacturing sector faces is getting employees back to work, safely, and kick-starting production.
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alk of Industry 4.0 has been useful in helping businesses understand the value of industrial automation and connectivity. But a lot of it is just hype, and many of the technologies are not being adopted as broadly or effectively as they could be.
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This theme of increased data collection has become fossilised by modern automation, as well as health and safety standards, both of which rely on complete data handling to operate robotics and keep workers safe respectively.
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Historian software systems, combined with thoroughly implemented monitoring equipment, collect data from every available variable on a production line.
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